Tenzir is a security-native data pipeline platform that enables collection, transformation, enrichment, and routing of security data across distributed environments. It supports deployments in hyperscaler cloud, on-premises/self-hosted, and SaaS configurations. The platform provides a pipeline-based approach to managing security telemetry, allowing users to ingest data from a wide range of sources, parse and normalize it to common schemas (OCSF, ASIM, ECS, or custom schemas), enrich it with threat, asset, and vulnerability context, and route it to destinations such as SIEMs, SOARs, XDR platforms, and data lakes. Tenzir includes an AI-powered automation layer and an open-source MCP server to accelerate data onboarding. It supports detection in streaming mode using Sigma rules, YARA, and Python. Data can be stored in Parquet format and written to object storage, with search and replay capabilities for data at rest. The platform also provides data masking and redaction features for compliance purposes, and offers data volume optimization to reduce storage and processing costs. It natively supports the OCSF standard, including validation and conformance of events across pipelines. Tenzir is positioned as a data pipeline fabric layer between security data sources and downstream security tools, reducing vendor lock-in and engineering overhead associated with data integration tasks.